Objective To evaluate the performance of the artificial intelligence (AI)-enabled snail identification system for recognition of Oncomelania hupensis robertsoni and Tricula in schistosomiasis-endemic areas of Yunnan Province. Methods Fifty O. hupensis robertsoni and 50 Tricula samples were collected from Yongbei Township, Yongsheng County, Lijiang City, a schistosomiasis-endemic area in Yunnan Province in May 2024. A total of 100 snail sample images were captured with smartphones, including front-view images of 25 O. hupensis robertsoni and 25 Tricula samples (upward shell opening) and back-view images of 25 O. hupensis robertsoni and 25 Tricula samples (downward shell opening). Snail samples were identified as O. hupensis robertsoni or Tricula by schistosomiasis control experts with a deputy senior professional title and above according to image quality and morphological characteristics. A standard dataset for snail image classification was created, and served as a gold standard for recognition of snail samples. A total of 100 snail sample images were recognized with the AI-enabled intelligent snail identification system based on a WeChat mini program in smartphones. Schistosomiasis control professionals were randomly sampled from stations of schistosomisis prevention and control and centers for disease control and prevention in 18 schistosomiasis-endemic counties (districts, cities) of Yunnan Province, for artificial identification of 100 snail sample images. All professionals are assigned to two groups according the median years of snail survey experiences, and the effect of years of snail survey experiences on O. hupensis robertsoni sample image recognition was evaluated. A receiver operating characteristic (ROC) curve was plotted, and the sensitivity, specificity, accuracy, Youden’s index and the area under the curve (AUC) of the AI-enabled intelligent snail identification system and artificial identification were calculated for recognition of snail sample images. The snail sample image recognition results of AI-enabled intelligent snail identification system and artificial identification were compared with the gold standard, and the internal consistency of artificial identification results was evaluated with the Cronbach’s coefficient alpha. Results A total of 54 schistosomiasis control professionals were sampled for artificial identification of snail sample image recognition, with a response rate of 100% (54/54), and the accuracy, sensitivity, specificity, Youden’s index, and AUC of artificial identification were 90%, 86%, 94%, 0.80 and 0.90 for recognition of snail sample images, respectively. The overall Cronbach’s coefficient alpha of artificial identification was 0.768 for recognition of snail sample images, and the Cronbach’s coefficient alpha was 0.916 for recognition of O. hupensis robertsoni snail sample images and 0.925 for recognition of Tricula snail sample images. The overall accuracy of artificial identification was 90% for recognition of snail sample images, and there was no significant difference in the accuracy of artificial identification for recognition of O. hupensis robertsoni (86%) and Tricula snail sample images (94%) (χ² = 1.778, P > 0.05). There was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (88%) and downward shell openings (92%) (χ² = 0.444, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less (75%) and more than 6 years (90%) (χ² = 7.792, P < 0.05). The accuracy, sensitivity, specificity and AUC of the AI-enabled intelligent snail identification system were 88%, 100%, 76% and 0.88 for recognition of O. hupensis robertsoni snail sample images, and there was no significant difference in the accuracy of recognition of O. hupensis robertsoni snail sample images between the AI-enabled intelligent snail identification system and artificial identification (χ² = 0.204, P > 0.05). In addition, there was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (90%) and downward shell openings (86%) (χ² = 0.379, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less and more than 6 years (χ² = 5.604, P_adjusted < 0.025). Conclusions The accuracy of recognition of snail sample images is comparable between the AI-enabled intelligent snail identification system and artificial identification by schistosomiasis control professionals, and the AI-enabled intelligent snail identification system is feasible for recognition of O. hupensis robertsoni and Tricula in Yunnan Province.

Data analysis models may assist the transmission of traditional Chinese medicine （TCM） experience and clinical diagnosis and treatment， and the possibility of constructing a “data-knowledge” dual-drive model was explored by taking gastric precancerous state as an example. Data-driven is to make clinical decisions around data analysis， and its syndrome-differentiation decision-making research relies on hidden structural models and partially observable Markov decision-making processes to identify the etiology of diseases， syndrome elements， evolution of pathogenesis， and syndrome differentiation protocols； knowledge-driven is to make use of data and information to promote decision-making and action processes， and its syndrome-differentiation decision-making research relies on convolutional neural networks to improve the accuracy of local disease identification and syndrome differentiation. The “data-knowledge” dual-driven model can make up for the shortcomings of single-drive numerical simulation accuracy， and achieve a balance between local disease identification and macroscopic syndrome differentiation. On the basis of previous research， we explored the construction method of diagnostic assisted decision-making platform for gastric precancerous state， and believed that the diagnostic and decision-making ability of doctors can be extended through the assistance of machines and algorithms. Meanwhile， the related research methods were integrated and the core features of gastric precancerous state based on TCM syndrome differentiation and endoscopic pathology diagnosis and prediction were obtained， and the elements of endoscopic pathology recognition based on TCM syndrome differentiation were explored， so as to provide ideas for the in-depth research and innovative application of cutting-edge data analysis technology in the field of intelligent TCM syndrome differentiation.

Three 2,3-diketoquinoxaline alkaloids were isolated from Heterosmilax yunnanensis Gagnep. Their structures were determined through 1D and 2D NMR, HR-ESI-MS, UV, and IR as 1-[5′-(3″-hydroxy-3″-methyl) glutaryl] ribityl-2,3-diketo-1,2,3,4-tetrahydro-6,7-dimethylquinoxaline (1), 1-[2′-(3″-hydroxy-3″-methyl) glutaryl]ribityl-2,3-diketo-1,2,3,4-tetrahydro-6,7-dimethylquinoxaline (2), and 1-ribityl-2,3-diketo-1,2,3,4-tetrahydro-6,7-dimethylquinoxaline (3). Compounds 1 and 2 are novel compounds, and 3 was isolated from H. yunnanensis for the first time. The hepatoprotective activity of these three compounds was evaluated, with compound 3 showing promising hepatoprotective activity.

Objective To investigate whether Liuwei Dihuang Pills enhances the antigen cross-presenting ability of dendritic cell(DC)by increasing gap junctional intercellular communication(GJIC),and to explore the mechanisms involved.Methods Western Blot and immunofluorescence were used to observe the effects of Liuwei Dihuang Pills-containing serum on the expression and membrane localisation of gap junction protein connexin43(Cx43)in mouse melanoma cells(B16);Calcein-AM/DiI fluorescence tracer assay was used to observe the effects of Liuwei Dihuang Pills-containing serum on the function of GJIC in B16 cells;flow cytometry was used to observe the role of GJIC in the enhancement of DC antigen presenting ability by Liuwei Dihuang Pills-containing serum;and propidium iodide(PI)/Hoechst staining assay was used to observe the immunocidal effect of CD8+ T-lymphocytes.Results Western Blot and immunofluorescence experiments showed that Liuwei Dihuang Pills-containing serum led to the up-regulation of Cx43 expression;fluorescence tracer experiments proved that the GJIC function of B16 cells was significantly enhanced by Liuwei Dihuang Pills-containing serum;flow cytometry analyses showed that the DC antigen-presenting ability was enhanced by Liuwei Dihuang Pills-containing serum;and the results of PI/Hoechst staining showed that the immuno-killing effect of CD8+T-cells was more significant after the intervention of Liuwei Dihuang Pills-containing serum in B16-OVA.Conclusion Liuwei Dihuang Pills improve the GJIC function by up-regulating the Cx43 expression of melanoma cells,and then enhance the cross-presenting ability of DCs thus activating stronger CD8+ T-cell immunocidal responses.

Objective:To investigate the incidence of venous thromboembolism (VTE) in patients with esophageal cancer (EC).Methods:The retrospective cohort study was conducted. The clinicopathological data of 8 458 EC patients who were admitted to Sichuan Cancer Hospital from January 2017 to December 2021 were collected. There were 6 923 males and 1 535 females, aged (64±9)years. There were 3 187 patients undergoing surgical treatment, and 5 271 cases undergoing non-surgical treatment. Observation indicators: (1) incidence of VTE in EC patients; (2) treatment and outcomes of patients with VTE. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was analyzed using the t test. Measurement data with skewed distribution were represented as M(range), and comparison between groups was analyzed using the nonparameter rank sum test. Count data were expressed as absolute numbers or percentages, and comparison between groups was analyzed using the chi-square test or Fisher exact probability. Comparison of ordinal data was analyzed using the nonparameter rank sum test. Results:(1) Incidence of VTE in EC patients. Of 8 458 EC patients, 175 cases developed VTE, with an incidence rate of 2.069%(175/8 458). Among 175 VTE patients, there were 164 cases of deep venous thrombosis (DVT), 4 cases of pulmonary embolism (PE), 7 cases of DVT and PE. There were 59 surgical patients and 116 non-surgical patients. There was no significant difference in thrombus type between surgical and non-surgical EC patients with VTE ( χ2=1.95, P>0.05). Of 3 187 surgical patients, the incidence of VTE was 1.851%(59/3 187), including an incidence of 0.157%(5/3 187) of PE. PE accounted for 8.475%(5/59) of surgical patients with VTE. Of 5 271 non-surgical patients, the incidence of VTE was 2.201%(116/5 271), including an incidence of 0.114%(6/5 271) of PE. PE accounted for 5.172%(6/116) of non-surgical patients with VTE. There was no significant difference in the incidence of VTE or PE between surgical patients and non-surgical patients ( χ2=1.20, 0.05, P>0.05). (2) Treatment and outcomes of patients with VTE. Among 175 EC patients with VTE, 163 cases underwent drug treatment, and 12 cases did not receive treatment. Among 163 cases with drug therapy, 158 cases underwent anticoagulant therapy, 5 cases were treated with thrombolysis. All the 163 patients were improved and discharged from hospital. Conclusions:The incidence of VTE in patients with EC is relatively low, as 2.069%. There is no significant difference in the incidence of VTE or thrombus type between surgical EC patients and non-surgical EC patients.

Objective:To investigate the role and mechanisms of SOCS3 protein in IL-10 inhibiting the expression of inflam-matory factors in Chlamydia-infected cells.Methods:The activation of STAT3 protein were examined in Chlamydia-infected cells by Western blot,and the activation of p38 and ERK1/2 were also examined in infected cells treated with socs3 siRNA.The expression of socs3 gene was examined in Chlamydia-infected cells treated with IL-10 or Stattic by RT-PCR.IL-6 and IL-12 were measured in infect-ed cells treated with socs3 siRNA using ELISA kits.Results:Socs3 expression was up-regulated by IL-10 through activation of STAT3 protein.IL-6 and IL-12 induced by Chlamydia were down-regulated by IL-10 through induction of socs3.The activation of p38 and ERK1/2 signalling pathways were inhibited by SOCS3.Conclusion:IL-10 inhibits the production of pro-inflammatory cytokines through induction of SOCS3 and inhibition p38 and ERK1/2 signalling pathways.

Objective:To detect the expression levels of various immune cells in peripheral blood,and to ex-plore their relationship with unexplained recurrent spontaneous abortion(URSA)and its clinical significance in di-agnosis and treatment.Methods:A total of 351 patients with URSA who visited Hebei Reproductive Health Hospi-tal between January 2020 and September 2022 were enrolled as the URSA group,while a control group compri-sing 30 healthy women who had experienced uncomplicated term delivery once and had no history of adverse pregnancy outcomes during the same period was selected.The levels of various immune cell subsets in peripheral blood during the luteal phase were measured and compared between the two groups.Receiver operating charac-teristic(ROC)curve analysis was performed to determine the optimal cutoff values of immune cell levels that could assist in URSA diagnosis and treatment,while logistic regression analysis was conducted to identify factors influ-encing URSA occurrence.Results:The number and percentage of CD3+CD8+cells in the peripheral blood of the URSA group were significantly lower compared to those in the control group(P＜0.05).Conversely,the per-centage of NK cells was significantly higher in the URSA group than in the control group(P＜0.05).Logistic re-gression analysis revealed that the increase in CD3+CD8+cell count in peripheral blood during the luteal phase was a protective factor of URSA(OR＜1,P＜0.05).ROC curve analysis determined optimal cutoff values for im-mune cell levels to assist in the diagnosing and treating URSA:702.82 cells/μl for CD3+CD8+cell count,28.39％for CD3+CD8+cell percentage,and 12.33％for NK cell percentage.After using the optimal cutoff value to convert continuous variables into binary variables,Logistic regression analysis showed that a CD3+CD8+cell count＜702.82 cells/μl and an NK cell percentage＞12.33％were independent risk factors for URSA(OR＞1,P＜0.05).Conclusions:The decrease of CD3+CD8+cells in peripheral blood during midluteal phase is closely related to the occurrence of URSA.The number of CD3+CD8+cells(702.82 cells/μl)and the percentage of NK cells(12.33％)can be used as reference values for the diagnosis and treatment of URSA.

Objective:To detect the expression levels of various immune cells in peripheral blood,and to ex-plore their relationship with unexplained recurrent spontaneous abortion(URSA)and its clinical significance in di-agnosis and treatment.Methods:A total of 351 patients with URSA who visited Hebei Reproductive Health Hospi-tal between January 2020 and September 2022 were enrolled as the URSA group,while a control group compri-sing 30 healthy women who had experienced uncomplicated term delivery once and had no history of adverse pregnancy outcomes during the same period was selected.The levels of various immune cell subsets in peripheral blood during the luteal phase were measured and compared between the two groups.Receiver operating charac-teristic(ROC)curve analysis was performed to determine the optimal cutoff values of immune cell levels that could assist in URSA diagnosis and treatment,while logistic regression analysis was conducted to identify factors influ-encing URSA occurrence.Results:The number and percentage of CD3+CD8+cells in the peripheral blood of the URSA group were significantly lower compared to those in the control group(P＜0.05).Conversely,the per-centage of NK cells was significantly higher in the URSA group than in the control group(P＜0.05).Logistic re-gression analysis revealed that the increase in CD3+CD8+cell count in peripheral blood during the luteal phase was a protective factor of URSA(OR＜1,P＜0.05).ROC curve analysis determined optimal cutoff values for im-mune cell levels to assist in the diagnosing and treating URSA:702.82 cells/μl for CD3+CD8+cell count,28.39％for CD3+CD8+cell percentage,and 12.33％for NK cell percentage.After using the optimal cutoff value to convert continuous variables into binary variables,Logistic regression analysis showed that a CD3+CD8+cell count＜702.82 cells/μl and an NK cell percentage＞12.33％were independent risk factors for URSA(OR＞1,P＜0.05).Conclusions:The decrease of CD3+CD8+cells in peripheral blood during midluteal phase is closely related to the occurrence of URSA.The number of CD3+CD8+cells(702.82 cells/μl)and the percentage of NK cells(12.33％)can be used as reference values for the diagnosis and treatment of URSA.

Objective:To detect the expression levels of various immune cells in peripheral blood,and to ex-plore their relationship with unexplained recurrent spontaneous abortion(URSA)and its clinical significance in di-agnosis and treatment.Methods:A total of 351 patients with URSA who visited Hebei Reproductive Health Hospi-tal between January 2020 and September 2022 were enrolled as the URSA group,while a control group compri-sing 30 healthy women who had experienced uncomplicated term delivery once and had no history of adverse pregnancy outcomes during the same period was selected.The levels of various immune cell subsets in peripheral blood during the luteal phase were measured and compared between the two groups.Receiver operating charac-teristic(ROC)curve analysis was performed to determine the optimal cutoff values of immune cell levels that could assist in URSA diagnosis and treatment,while logistic regression analysis was conducted to identify factors influ-encing URSA occurrence.Results:The number and percentage of CD3+CD8+cells in the peripheral blood of the URSA group were significantly lower compared to those in the control group(P＜0.05).Conversely,the per-centage of NK cells was significantly higher in the URSA group than in the control group(P＜0.05).Logistic re-gression analysis revealed that the increase in CD3+CD8+cell count in peripheral blood during the luteal phase was a protective factor of URSA(OR＜1,P＜0.05).ROC curve analysis determined optimal cutoff values for im-mune cell levels to assist in the diagnosing and treating URSA:702.82 cells/μl for CD3+CD8+cell count,28.39％for CD3+CD8+cell percentage,and 12.33％for NK cell percentage.After using the optimal cutoff value to convert continuous variables into binary variables,Logistic regression analysis showed that a CD3+CD8+cell count＜702.82 cells/μl and an NK cell percentage＞12.33％were independent risk factors for URSA(OR＞1,P＜0.05).Conclusions:The decrease of CD3+CD8+cells in peripheral blood during midluteal phase is closely related to the occurrence of URSA.The number of CD3+CD8+cells(702.82 cells/μl)and the percentage of NK cells(12.33％)can be used as reference values for the diagnosis and treatment of URSA.

Objective:To detect the expression levels of various immune cells in peripheral blood,and to ex-plore their relationship with unexplained recurrent spontaneous abortion(URSA)and its clinical significance in di-agnosis and treatment.Methods:A total of 351 patients with URSA who visited Hebei Reproductive Health Hospi-tal between January 2020 and September 2022 were enrolled as the URSA group,while a control group compri-sing 30 healthy women who had experienced uncomplicated term delivery once and had no history of adverse pregnancy outcomes during the same period was selected.The levels of various immune cell subsets in peripheral blood during the luteal phase were measured and compared between the two groups.Receiver operating charac-teristic(ROC)curve analysis was performed to determine the optimal cutoff values of immune cell levels that could assist in URSA diagnosis and treatment,while logistic regression analysis was conducted to identify factors influ-encing URSA occurrence.Results:The number and percentage of CD3+CD8+cells in the peripheral blood of the URSA group were significantly lower compared to those in the control group(P＜0.05).Conversely,the per-centage of NK cells was significantly higher in the URSA group than in the control group(P＜0.05).Logistic re-gression analysis revealed that the increase in CD3+CD8+cell count in peripheral blood during the luteal phase was a protective factor of URSA(OR＜1,P＜0.05).ROC curve analysis determined optimal cutoff values for im-mune cell levels to assist in the diagnosing and treating URSA:702.82 cells/μl for CD3+CD8+cell count,28.39％for CD3+CD8+cell percentage,and 12.33％for NK cell percentage.After using the optimal cutoff value to convert continuous variables into binary variables,Logistic regression analysis showed that a CD3+CD8+cell count＜702.82 cells/μl and an NK cell percentage＞12.33％were independent risk factors for URSA(OR＞1,P＜0.05).Conclusions:The decrease of CD3+CD8+cells in peripheral blood during midluteal phase is closely related to the occurrence of URSA.The number of CD3+CD8+cells(702.82 cells/μl)and the percentage of NK cells(12.33％)can be used as reference values for the diagnosis and treatment of URSA.